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Field
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computational biology/chemistry, machine-learning for biological or chemical data, and drug discovery/design. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve
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computational resources for data analysis, and also provide the opportunity to collaborate with Stanford Data Science, the Center for Decoding the Universe, the SLAC theory group, and a number of other cross
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Sciences, Atmospheric Sciences, Geological Sciences Experience analyzing satellite data and model output (e.g., Landsat, Sentinel, MODIS). Experience processing satellite data in cloud computing environments
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Title: Postdoctoral Research Associate Position Type: Fulltime Staff Search Type: External - minimum 7 days Department: 21R000 - Science, Tech, Engineering & Math Division: 2R0000 - Academic Affairs
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, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications
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written and oral communication skills Required Education Ph.D. in statistics, biostatistics, epidemiology, public health, psychology, psychiatry, computational biology, or related discipline Required Other
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Type: Fellowship Organization Type: Higher Education Institution The Program on Corporate Governance at Harvard Law School (HLS) is pleased to announce that it is seeking applications from highly
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Researcher, and according to the National Institute of Health (NIH) and the National Science Foundation (NSF), you will be an individual who has received a doctoral degree (or equivalent) and is engaged in a
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. Collaborate with researchers from different institutions and disciplines, including engineering, computing, and clinicians. Participate in manuscript writing/preparation, conference talks/posters, manuscript
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be